* installing *source* package ‘fastQR’ ...
** this is package ‘fastQR’ version ‘1.1.0’
** using staged installation
** libs
using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c QR_utils_wrap.cpp -o QR_utils_wrap.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from utils.h:5,
                 from QR_utils_wrap.cpp:7:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QR_utils_wrap.cpp:89:21:   required from here
   89 |     Eigen::MatrixXd X_test_ = Rcpp::as<Eigen::MatrixXd>(wrap(X_test_tmp));
      |                     ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QR_utils_wrap.cpp:89:21:   required from here
   89 |     Eigen::MatrixXd X_test_ = Rcpp::as<Eigen::MatrixXd>(wrap(X_test_tmp));
      |                     ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
QR_utils_wrap.cpp:93:36:   required from here
   93 |       out = rls_pred2(y, X, X_test_);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QR_utils_wrap.cpp:662:37:   required from here
  662 |     X_tilde << X, sqrt(lambda(j)) * D0;
      |                                     ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QR_utils_wrap.cpp:662:37:   required from here
  662 |     X_tilde << X, sqrt(lambda(j)) * D0;
      |                                     ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int, std::allocator<int> >, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int, std::allocator<int> >, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int, std::allocator<int> >, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int, std::allocator<int> >, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int, std::allocator<int> >, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int, std::allocator<int> >, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
QR_utils_wrap.cpp:698:19:   required from here
  698 |       y_train0 = y(idx_shuffle);
      |                  ~^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QR_utils_wrap.cpp:706:51:   required from here
  706 |                                  X_test0.transpose());
      |                                  ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
QR_utils_wrap.cpp:715:35:   required from here
  715 |   mse_min    = ave_mse_STORE.array().minCoeff(&mse_min_indi);
      |                ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
QR_utils_wrap.cpp:1339:44:   required from here
 1339 |   Eigen::VectorXd beta_hat = VectorXd::Zero(p);
      |                              ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QR_utils_wrap.cpp:1474:49:   required from here
 1474 |   VectorXd resid = y - qr_fitted_rank(qr, tau, y);
      |                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from ‘class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >’
  242 |     RowVectorType m_temp;
      |                   ^~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QR_utils_wrap.cpp:1557:14:   required from here
 1557 |   return X * coef;
      |              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QR_utils_wrap.cpp:1597:18:   required from here
 1597 |   return y - X * coef;
      |                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:54:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                    ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QR_utils_wrap.cpp:1636:26:   required from here
 1636 |   return Q.transpose() * y;
      |                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:99:21:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; XprType = Eigen::Matrix<double, -1, -1>]’
   98 |     m_xpr.template block<OtherDerived::RowsAtCompileTime, OtherDerived::ColsAtCompileTime>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   99 |                     (m_row, m_col, other.rows(), other.cols()) = other;
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:662:37:   required from here
  662 |     X_tilde << X, sqrt(lambda(j)) * D0;
      |                                     ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  426 |         res(other.template cast<typename internal::matrix_type_times_scalar_type<Scalar,OtherDerived>::ResultScalar>());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QR_utils_wrap.cpp:220:46:   required from here
  220 |   Eigen::MatrixXd R(p, p);          R.setZero();        // full R matrix
      |                                     ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |                                                                  ~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |                                        ~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:343:32:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  343 |       Block<HCoeffs,Dynamic,1> hCoeffsSegment = hCoeffs.segment(k,bs);
      |                                ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   90 |   Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs,nbVecs);
      |                                                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |                    ~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
      |                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  128 |     Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
      |                                                                                  ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |            ~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:12:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:20:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:75:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |                                                           ~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:99:64:   required from ‘Eigen::CommaInitializer<MatrixType>& Eigen::CommaInitializer<MatrixType>::operator,(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; XprType = Eigen::Matrix<double, -1, -1>]’
   98 |     m_xpr.template block<OtherDerived::RowsAtCompileTime, OtherDerived::ColsAtCompileTime>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   99 |                     (m_row, m_col, other.rows(), other.cols()) = other;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
QR_utils_wrap.cpp:662:37:   required from here
  662 |     X_tilde << X, sqrt(lambda(j)) * D0;
      |                                     ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 1, 1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:363:86:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  363 |       Matrix<Scalar,1,Dest::ColsAtCompileTime,RowMajor,1,Dest::MaxColsAtCompileTime> workspace;
      |                                                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:542:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1636:24:   required from here
 1636 |   return Q.transpose() * y;
      |          ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1636:24:   required from here
 1636 |   return Q.transpose() * y;
      |          ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |     ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1636:24:   required from here
 1636 |   return Q.transpose() * y;
      |          ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1636:24:   required from here
 1636 |   return Q.transpose() * y;
      |          ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
  125 |             Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
      |                                                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1636:24:   required from here
 1636 |   return Q.transpose() * y;
      |          ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1636:24:   required from here
 1636 |   return Q.transpose() * y;
      |          ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  123 |     *this *= Scalar(1)-tau;
      |     ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
   92 |     SmallPanelWidth   = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                          ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1557:12:   required from here
 1557 |   return X * coef;
      |          ~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1636:24:   required from here
 1636 |   return Q.transpose() * y;
      |          ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  175 |       pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  205 |           gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  206 |                       actualPanelWidth, actualPanelWidth, cols, alpha,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |                       actualPanelWidth, actual_kc, 0, blockBOffset);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1636:24:   required from here
 1636 |   return Q.transpose() * y;
      |          ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
  527 |   typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
      |                                                                            ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1516:31:   required from here
 1516 |   HouseholderQR<MatrixXd> qr(X);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_utils_wrap.cpp:1635:73:   required from here
 1635 |   MatrixXd Q = qr.householderQ() * MatrixXd::Identity(X.rows(), X.cols());
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_utils_wrap.cpp:1517:18:   required from here
 1517 |   return qr.solve(y);
      |          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:341:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c QR_wrap.cpp -o QR_wrap.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from QRdecomposition.h:5,
                 from QR_wrap.cpp:7:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QR_wrap.cpp:84:18:   required from here
   84 |   const int n = X.rows();
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QR_wrap.cpp:84:18:   required from here
   84 |   const int n = X.rows();
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QR_wrap.cpp:373:18:   required from here
  373 |     Rin = R.block(0, 0, Rin.rows(), Rin.cols());
      |           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QR_wrap.cpp:384:40:   required from here
  384 |       res = qraddcol(Qin, Rin, k, U.col(0));
      |                                   ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
QR_wrap.cpp:384:21:   required from here
  384 |       res = qraddcol(Qin, Rin, k, U.col(0));
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QR_wrap.cpp:397:52:   required from here
  397 |       Qs                                 = Q_.block(0, 0, Qs.rows(), Qs.cols());
      |                                            ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QR_wrap.cpp:431:53:   required from here
  431 |       res = qraddrow(Qin, Rin, k, U.col(0).transpose());
      |                                   ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
QR_wrap.cpp:431:21:   required from here
  431 |       res = qraddrow(Qin, Rin, k, U.col(0).transpose());
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QR_wrap.cpp:436:48:   required from here
  436 |       res = qraddmrows(Qin, Rin, k, U.transpose());
      |                                     ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QR_wrap.cpp:347:60:   required from here
  347 |   Eigen::MatrixXd Qin(Q_nrow, Q_ncol);          Qin.setZero();        // full Q matrix (input for delete rows)
      |                                                 ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QR_wrap.cpp:384:40:   required from here
  384 |       res = qraddcol(Qin, Rin, k, U.col(0));
      |                                   ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QR_wrap.cpp:398:44:   required from here
  398 |       Rs.block(0, 0, R_ncol+m, R_ncol+m) = R_;
      |                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QR_wrap.cpp:373:47:   required from here
  373 |     Rin = R.block(0, 0, Rin.rows(), Rin.cols());
      |                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c QRdecomposition.cpp -o QRdecomposition.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from QRdecomposition.h:5,
                 from QRdecomposition.cpp:14:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QRdecomposition.cpp:24:15:   required from here
   24 |   int i, n = X.rows(), p = X.cols();
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QRdecomposition.cpp:24:15:   required from here
   24 |   int i, n = X.rows(), p = X.cols();
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
QRdecomposition.cpp:30:23:   required from here
   30 |     Eigen::VectorXd v(n-1); v.setZero();
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRdecomposition.cpp:36:33:   required from here
   36 |       tmp  = householder(R.block(i, i, n-i, 1));
      |                          ~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
QRdecomposition.cpp:37:22:   required from here
   37 |       v    = tmp.head(n-i);
      |              ~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRdecomposition.cpp:45:48:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRdecomposition.cpp:45:48:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRdecomposition.cpp:45:65:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                      ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRdecomposition.cpp:45:96:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRdecomposition.cpp:48:78:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRdecomposition.cpp:48:79:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRdecomposition.cpp:53:22:   required from here
   53 |       Q1 = Q.leftCols(R.cols());
      |            ~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
QRdecomposition.cpp:101:19:   required from here
  101 |   Eigen::Vector2d tmp; tmp.setZero();
      |                   ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
QRdecomposition.cpp:101:19:   required from here
  101 |   Eigen::Vector2d tmp; tmp.setZero();
      |                   ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRdecomposition.cpp:114:56:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                        ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from ‘class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >’
  242 |     RowVectorType m_temp;
      |                   ^~~~~~
QRdecomposition.cpp:177:46:   required from here
  177 |     Eigen::HouseholderQR<Eigen::MatrixXd> qr(m, n);
      |                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  426 |         res(other.template cast<typename internal::matrix_type_times_scalar_type<Scalar,OtherDerived>::ResultScalar>());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
  875 |   return internal::setIdentity_impl<Derived>::run(derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
QRdecomposition.cpp:27:41:   required from here
   27 |   Eigen::MatrixXd Q(n, n); Q.setIdentity();
      |                            ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRdecomposition.cpp:30:38:   required from here
   30 |     Eigen::VectorXd v(n-1); v.setZero();
      |                             ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRdecomposition.cpp:43:40:   required from here
   43 |       R.block(i+1, i, n-i-1, 1).setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRdecomposition.cpp:101:35:   required from here
  101 |   Eigen::Vector2d tmp; tmp.setZero();
      |                        ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |                                                                  ~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |                                        ~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:12:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:20:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:295:26:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   90 |   Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs,nbVecs);
      |                                                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |                    ~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
      |                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |            ~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:75:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |                                                           ~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   45 |   VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1);
      |                                                                                ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  128 |     Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
      |                                                                                  ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |            ~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Matrix<double, -1, 1>, 0>’
  113 |     LhsNested m_lhs;
      |               ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |     ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |     ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
   92 |     SmallPanelWidth   = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                          ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  175 |       pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  205 |           gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  206 |                       actualPanelWidth, actualPanelWidth, cols, alpha,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |                       actualPanelWidth, actual_kc, 0, blockBOffset);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  184 |         pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:202:32:   required from here
  202 |     As.rightCols(n-n1) -= Q1 * R12;
      |                                ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:115:71:   required from here
  115 |         Q.block(0, i-1, Q.rows(), 2) = Q.block(0, i-1, Q.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:180:29:   required from here
  180 |     Q = qr.householderQ() * thinQ;
      |                             ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:45:97:   required from here
   45 |         R.block(i, i+1, n-i, p-i-1) -= (beta * v) * (v.transpose() * R.block(i, i+1, n-i, p-i-1));
      |                                                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:114:87:   required from here
  114 |         R.block(i-1, j, 2, p-1-j+1)  = Givens.transpose() * R.block(i-1, j, 2, p-1-j+1);
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRdecomposition.cpp:201:61:   required from here
  201 |     R12                 = Q1.transpose() * As.rightCols(n-n1);
      |                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
QRdecomposition.cpp:178:15:   required from here
  178 |     qr.compute(As);
      |     ~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRdecomposition.cpp:48:95:   required from here
   48 |       Q.block(0, i, Q.rows(), n-i) -= beta * (Q.block(0, i, Q.rows(), n-i) * v) * v.transpose();
      |                                                                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:341:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c QRupdate.cpp -o QRupdate.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from QRupdate.h:5,
                 from QRupdate.cpp:14:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QRupdate.cpp:43:19:   required from here
   43 |   int i = 0, n = Q.rows(), p = R.cols();
      |                   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QRupdate.cpp:43:19:   required from here
   43 |   int i = 0, n = Q.rows(), p = R.cols();
      |                   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
QRupdate.cpp:45:19:   required from here
   45 |   Eigen::Vector2d tmp; tmp.setZero();
      |                   ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
QRupdate.cpp:45:19:   required from here
   45 |   Eigen::Vector2d tmp; tmp.setZero();
      |                   ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 2>’
  178 | class Matrix
      |       ^~~~~~
QRupdate.cpp:46:19:   required from here
   46 |   Eigen::Matrix2d Givens; Givens.setZero();
      |                   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRupdate.cpp:52:21:   required from here
   52 |     Rs.topLeftCorner(p, p) = R;
      |     ~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRupdate.cpp:54:45:   required from here
   54 |     Rs.topLeftCorner(p, k-1)    = R.leftCols(k-1);
      |                                   ~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
QRupdate.cpp:58:19:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRupdate.cpp:58:36:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:58:41:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, 2, 2> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRupdate.cpp:75:52:   required from here
   75 |       Rs.block(i-1, i, 2, p-i+1) = Givens.transpose() * Rs.block(i-1, i, 2, p-i+1);
      |                                    ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:75:82:   required from here
   75 |       Rs.block(i-1, i, 2, p-i+1) = Givens.transpose() * Rs.block(i-1, i, 2, p-i+1);
      |                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRupdate.cpp:83:9:   required from here
   83 |   Rs.col(k-1) = v.head(p+1);
      |   ~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
QRupdate.cpp:83:23:   required from here
   83 |   Rs.col(k-1) = v.head(p+1);
      |                 ~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:123:40:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
QRupdate.cpp:176:27:   required from here
  176 |   Eigen::RowVectorXd tmp(p); tmp.setZero();
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRupdate.cpp:181:41:   required from here
  181 |     Qs.topLeftCorner(k-1, n) = Q.topRows(k-1);
      |                                ~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:204:41:   required from here
  204 |       Rs.block(i, i+1, 1, p-i-1) = cc * tmp - ss * us.segment(i+1, p-i-1);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:204:41:   required from here
  204 |       Rs.block(i, i+1, 1, p-i-1) = cc * tmp - ss * us.segment(i+1, p-i-1);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, 1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
QRupdate.cpp:204:62:   required from here
  204 |       Rs.block(i, i+1, 1, p-i-1) = cc * tmp - ss * us.segment(i+1, p-i-1);
      |                                                    ~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:204:73:   required from here
  204 |       Rs.block(i, i+1, 1, p-i-1) = cc * tmp - ss * us.segment(i+1, p-i-1);
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:204:73:   required from here
  204 |       Rs.block(i, i+1, 1, p-i-1) = cc * tmp - ss * us.segment(i+1, p-i-1);
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:207:69:   required from here
  207 |       us.segment(i+1, p-i-1) = ss * tmp + cc * us.segment(i+1, p-i-1);
      |                                                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRupdate.cpp:211:36:   required from here
  211 |     tmp       = Qs.col(i).transpose();
      |                 ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:212:30:   required from here
  212 |     Qs.col(i) = cc * Qs.col(i) - ss * Qs.col(n);
      |                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:212:30:   required from here
  212 |     Qs.col(i) = cc * Qs.col(i) - ss * Qs.col(n);
      |                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:212:47:   required from here
  212 |     Qs.col(i) = cc * Qs.col(i) - ss * Qs.col(n);
      |                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRupdate.cpp:213:35:   required from here
  213 |     Qs.col(n) = ss * tmp.transpose() + cc * Qs.col(n);
      |                      ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:213:36:   required from here
  213 |     Qs.col(n) = ss * tmp.transpose() + cc * Qs.col(n);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:213:53:   required from here
  213 |     Qs.col(n) = ss * tmp.transpose() + cc * Qs.col(n);
      |                                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:271:54:   required from here
  271 |     v1                     = beta * v.tail(v.size()-1);
      |                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:277:70:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:277:70:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRupdate.cpp:277:86:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                          ~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRupdate.cpp:277:103:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                                           ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:277:109:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:277:109:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRupdate.cpp:277:121:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:279:71:   required from here
  279 |       Us.rightCols(p-i-1)        -= v.tail(v.size()-1) * Ri.transpose();
      |                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:283:60:   required from here
  283 |     Qi              = beta * Qs.col(i) + Qs.rightCols(m) * v1;
      |                                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:283:60:   required from here
  283 |     Qi              = beta * Qs.col(i) + Qs.rightCols(m) * v1;
      |                                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:284:35:   required from here
  284 |     Qs.col(i)       = Qs.col(i) - Qi;
      |                                   ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRupdate.cpp:285:74:   required from here
  285 |     Qs.rightCols(m) = Qs.rightCols(m) - Qi * v.tail(v.size()-1).transpose();
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:285:75:   required from here
  285 |     Qs.rightCols(m) = Qs.rightCols(m) - Qi * v.tail(v.size()-1).transpose();
      |                                                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:285:75:   required from here
  285 |     Qs.rightCols(m) = Qs.rightCols(m) - Qi * v.tail(v.size()-1).transpose();
      |                                                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRupdate.cpp:329:31:   required from here
  329 |   Eigen::RowVectorXd q = Q.row(k-1);
      |                          ~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:361:84:   required from here
  361 |   Qs.block(1, 1, n-1, 1) = ss * Qs.block(1, 0, n-1, 1) + cc * Qs.block(1, 1, n-1, 1);
      |                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRupdate.cpp:678:19:   required from here
  678 |     vs   = beta * v;
      |                   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:685:92:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:688:72:   required from here
  688 |     Qs.block(0, i, Qs.rows(), m+1) -= Qs.block(0, i, Qs.rows(), m+1) * vs * v.transpose();
      |                                                                        ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRupdate.cpp:688:89:   required from here
  688 |     Qs.block(0, i, Qs.rows(), m+1) -= Qs.block(0, i, Qs.rows(), m+1) * vs * v.transpose();
      |                                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRupdate.cpp:734:22:   required from here
  734 |     Rs.col(i) = R.col(knot(i)-1);
      |                 ~~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRupdate.cpp:45:35:   required from here
   45 |   Eigen::Vector2d tmp; tmp.setZero();
      |                        ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 2>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 2>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRupdate.cpp:46:41:   required from here
   46 |   Eigen::Matrix2d Givens; Givens.setZero();
      |                           ~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRupdate.cpp:50:43:   required from here
   50 |   Eigen::MatrixXd Rs(p+1, p+1); Rs.setZero();
      |                                 ~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRupdate.cpp:176:41:   required from here
  176 |   Eigen::RowVectorXd tmp(p); tmp.setZero();
      |                              ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRupdate.cpp:239:34:   required from here
  239 |   Eigen::VectorXd v(m); v.setZero();
      |                         ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool Big = false]’
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  875 |   return internal::setIdentity_impl<Derived>::run(derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
QRupdate.cpp:253:37:   required from here
  253 |   Qs.block(k-1, n, m, m).setIdentity();
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:75:82:   required from here
   75 |       Rs.block(i-1, i, 2, p-i+1) = Givens.transpose() * Rs.block(i-1, i, 2, p-i+1);
      |                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 2>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:278:50:   required from here
  278 |       Rs.block(i, i+1, 1, p-i-1) -= Ri.transpose();
      |                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:279:71:   required from here
  279 |       Us.rightCols(p-i-1)        -= v.tail(v.size()-1) * Ri.transpose();
      |                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:54:49:   required from here
   54 |     Rs.topLeftCorner(p, k-1)    = R.leftCols(k-1);
      |                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:83:27:   required from here
   83 |   Rs.col(k-1) = v.head(p+1);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:83:27:   required from here
   83 |   Rs.col(k-1) = v.head(p+1);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:181:45:   required from here
  181 |     Qs.topLeftCorner(k-1, n) = Q.topRows(k-1);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Matrix<double, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:204:73:   required from here
  204 |       Rs.block(i, i+1, 1, p-i-1) = cc * tmp - ss * us.segment(i+1, p-i-1);
      |                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, 1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:329:31:   required from here
  329 |   Eigen::RowVectorXd q = Q.row(k-1);
      |                          ~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:734:32:   required from here
  734 |     Rs.col(i) = R.col(knot(i)-1);
      |                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:75:82:   required from here
   75 |       Rs.block(i-1, i, 2, p-i+1) = Givens.transpose() * Rs.block(i-1, i, 2, p-i+1);
      |                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 1, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Matrix<double, -1, 2>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 2; int _Options = 0; int _MaxRows = -1; int _MaxCols = 2]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:688:89:   required from here
  688 |     Qs.block(0, i, Qs.rows(), m+1) -= Qs.block(0, i, Qs.rows(), m+1) * vs * v.transpose();
      |                                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = generic_product_impl<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:688:89:   required from here
  688 |     Qs.block(0, i, Qs.rows(), m+1) -= Qs.block(0, i, Qs.rows(), m+1) * vs * v.transpose();
      |                                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40:   required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
  147 |     typedef typename Traits::ResScalar ResScalar;
      |                                        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81:   required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
  342 |     evaluateProductBlockingSizesHeuristic<LhsScalar, RhsScalar, KcFactor, Index>(k, m, n, num_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66:   required from ‘Eigen::internal::gemm_blocking_space<StorageOrder, _LhsScalar, _RhsScalar, MaxRows, MaxCols, MaxDepth, KcFactor, false>::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’
  355 |         computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc, num_threads);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  507 |     BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true);
      |                  ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
   82 |   gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                           ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
   82 |   gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                           ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  184 |         pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  195 |             pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  198 |           gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha);
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:58:39:   required from here
   58 |   Eigen::VectorXd v  = Qs.transpose() * u;
      |                        ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:283:60:   required from here
  283 |     Qi              = beta * Qs.col(i) + Qs.rightCols(m) * v1;
      |                                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:283:60:   required from here
  283 |     Qi              = beta * Qs.col(i) + Qs.rightCols(m) * v1;
      |                                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:283:60:   required from here
  283 |     Qi              = beta * Qs.col(i) + Qs.rightCols(m) * v1;
      |                                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Matrix<double, -1, 2>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 2; int _Options = 0; int _MaxRows = -1; int _MaxCols = 2]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Matrix<double, -1, 2>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 2; int _Options = 0; int _MaxRows = -1; int _MaxCols = 2]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, 2, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Matrix<double, -1, 2>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 2; int _Options = 0; int _MaxRows = -1; int _MaxCols = 2]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, 2, 2>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 2>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Matrix<double, -1, 2>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 2; int _Options = 0; int _MaxRows = -1; int _MaxCols = 2]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:283:60:   required from here
  283 |     Qi              = beta * Qs.col(i) + Qs.rightCols(m) * v1;
      |                                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:283:60:   required from here
  283 |     Qi              = beta * Qs.col(i) + Qs.rightCols(m) * v1;
      |                                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:75:82:   required from here
   75 |       Rs.block(i-1, i, 2, p-i+1) = Givens.transpose() * Rs.block(i-1, i, 2, p-i+1);
      |                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:75:82:   required from here
   75 |       Rs.block(i-1, i, 2, p-i+1) = Givens.transpose() * Rs.block(i-1, i, 2, p-i+1);
      |                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, 2, 2> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:75:82:   required from here
   75 |       Rs.block(i-1, i, 2, p-i+1) = Givens.transpose() * Rs.block(i-1, i, 2, p-i+1);
      |                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
QRupdate.cpp:123:38:   required from here
  123 |   Eigen::MatrixXd V = Qs.transpose() * U;
      |                       ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Matrix<double, -1, 2>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 2; int _Options = 0; int _MaxRows = -1; int _MaxCols = 2]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Matrix<double, -1, 2>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 2; int _Options = 0; int _MaxRows = -1; int _MaxCols = 2]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, 2, 2>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:78:71:   required from here
   78 |     Qs.block(0, i-1, Qs.rows(), 2) = Qs.block(0, i-1, Qs.rows(), 2) * Givens;
      |                                                                       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:283:60:   required from here
  283 |     Qi              = beta * Qs.col(i) + Qs.rightCols(m) * v1;
      |                                                            ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:75:82:   required from here
   75 |       Rs.block(i-1, i, 2, p-i+1) = Givens.transpose() * Rs.block(i-1, i, 2, p-i+1);
      |                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:277:122:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:277:122:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:685:93:   required from here
  685 |       Rs.block(i, i+1, m+1, p-m-i-1) -= vs * (v.transpose() * Rs.block(i, i+1, m+1, p-m-i-1));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:277:122:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:277:122:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRupdate.cpp:688:89:   required from here
  688 |     Qs.block(0, i, Qs.rows(), m+1) -= Qs.block(0, i, Qs.rows(), m+1) * vs * v.transpose();
      |                                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRupdate.cpp:277:122:   required from here
  277 |       Ri                          = (beta * Rs.block(i, i+1, 1, p-i-1) + v1.transpose() * Us.rightCols(p-i-1)).transpose();
      |                                                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c QRutils.cpp -o QRutils.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from QRutils.h:5,
                 from QRutils.cpp:14:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QRutils.cpp:19:49:   required from here
   19 | Eigen::MatrixXd QRchol (const Eigen::MatrixXd& X) {
      |                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
QRutils.cpp:19:49:   required from here
   19 | Eigen::MatrixXd QRchol (const Eigen::MatrixXd& X) {
      |                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
QRutils.cpp:88:50:   required from here
   88 |                          const Eigen::VectorXd& b) {
      |                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRutils.cpp:124:50:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                       ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRutils.cpp:124:55:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
QRutils.cpp:124:38:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRutils.cpp:205:50:   required from here
  205 |   x = R.triangularView<Upper>().solve(A.transpose() * b);
      |                                       ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRutils.cpp:205:55:   required from here
  205 |   x = R.triangularView<Upper>().solve(A.transpose() * b);
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
QRutils.cpp:205:38:   required from here
  205 |   x = R.triangularView<Upper>().solve(A.transpose() * b);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRutils.cpp:253:25:   required from here
  253 |   XTX = X.transpose() * X / (double)n;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:253:37:   required from here
  253 |   XTX = X.transpose() * X / (double)n;
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:253:37:   required from here
  253 |   XTX = X.transpose() * X / (double)n;
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:254:37:   required from here
  254 |   XTy = X.transpose() * y / (double)n;
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:254:37:   required from here
  254 |   XTy = X.transpose() * y / (double)n;
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
QRutils.cpp:265:41:   required from here
  265 |   regp = R.triangularView<Upper>().solve(b);  // enable fast mode
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRutils.cpp:269:17:   required from here
  269 |   fitted  = X * regp;
      |                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:270:17:   required from here
  270 |   resid   = y - fitted;
      |                 ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
QRutils.cpp:273:24:   required from here
  273 |   y_norm2 = y.transpose() * y - n * std::pow(y_mean, 2);
      |             ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRutils.cpp:273:29:   required from here
  273 |   y_norm2 = y.transpose() * y - n * std::pow(y_mean, 2);
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRutils.cpp:273:29:   required from here
  273 |   y_norm2 = y.transpose() * y - n * std::pow(y_mean, 2);
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:282:76:   required from here
  282 |                               Rcpp::Named("XTX")             = (double)n * XTX,
      |                                                                            ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:283:76:   required from here
  283 |                               Rcpp::Named("XTy")             = (double)n * XTy,
      |                                                                            ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRutils.cpp:441:80:   required from here
  441 |                               Rcpp::Named("XTX")             = R.transpose() * R,
      |                                                                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:578:38:   required from here
  578 |   res = householderQR(XTX + lambda * D, false);
      |                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
QRutils.cpp:733:14:   required from here
  733 |   D1.diagonal().array()       = std::sqrt(lambda);
      |   ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
QRutils.cpp:733:22:   required from here
  733 |   D1.diagonal().array()       = std::sqrt(lambda);
      |   ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
QRutils.cpp:734:16:   required from here
  734 |   X_tilde.block(0, 0, n, p)   = X;
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
QRutils.cpp:970:27:   required from here
  970 |   squareddiff = diff.array().square();
      |                 ~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
QRutils.cpp:970:36:   required from here
  970 |   squareddiff = diff.array().square();
      |                 ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
QRutils.cpp:1017:30:   required from here
 1017 |   Eigen::RowVectorXd Y_mean(q);                 Y_mean.setZero();
      |                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:1023:28:   required from here
 1023 |   Y_mean = Y.colwise().mean();
      |            ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:1023:28:   required from here
 1023 |   Y_mean = Y.colwise().mean();
      |            ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:1023:28:   required from here
 1023 |   Y_mean = Y.colwise().mean();
      |            ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:1026:30:   required from here
 1026 |   Y_centered = Y.rowwise() - Y_mean;
      |                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, 1, -1>, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:1026:30:   required from here
 1026 |   Y_centered = Y.rowwise() - Y_mean;
      |                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:1035:11:   required from here
 1035 |   E = Y - Y_HAT;
      |           ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
QRutils.cpp:1079:26:   required from here
 1079 |   pmse = (residuals.array().square().sum()) / (n * q);
      |           ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
QRutils.cpp:1079:35:   required from here
 1079 |   pmse = (residuals.array().square().sum()) / (n * q);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
QRutils.cpp:1136:41:   required from here
 1136 |   regp = R.triangularView<Upper>().solve(B);  // enable fast mode
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
QRutils.cpp:1151:92:   required from here
 1151 |                               Rcpp::Named("Sigma_hat") = resid.transpose() * resid / (n - p),
      |                                                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
  167 |   typedef typename PlainObjectType::Scalar Scalar;
      |                                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
  273 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRutils.cpp:273:27:   required from here
  273 |   y_norm2 = y.transpose() * y - n * std::pow(y_mean, 2);
      |             ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
QRutils.cpp:1041:25:   required from here
 1041 |   trace_T = T_sscp.trace();
      |             ~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRutils.cpp:32:46:   required from here
   32 |   Eigen::MatrixXd R(p, p);          R.setZero();        // full R matrix
      |                                     ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRutils.cpp:104:46:   required from here
  104 |   Eigen::VectorXd x(p);             x.setZero();          // full x vector
      |                                     ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
QRutils.cpp:271:23:   required from here
  271 |   res2    = resid.norm();
      |             ~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
  875 |   return internal::setIdentity_impl<Derived>::run(derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
QRutils.cpp:569:62:   required from here
  569 |   Eigen::MatrixXd D(p, p);                      D.setIdentity();
      |                                                 ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:117:24:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]’
  117 |     { Base::setConstant(value); return derived(); }
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
QRutils.cpp:733:49:   required from here
  733 |   D1.diagonal().array()       = std::sqrt(lambda);
      |                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
QRutils.cpp:1017:63:   required from here
 1017 |   Eigen::RowVectorXd Y_mean(q);                 Y_mean.setZero();
      |                                                 ~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRutils.cpp:272:19:   required from here
  272 |   y_mean  = y.mean();
      |             ~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRutils.cpp:273:27:   required from here
  273 |   y_norm2 = y.transpose() * y - n * std::pow(y_mean, 2);
      |             ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRutils.cpp:273:27:   required from here
  273 |   y_norm2 = y.transpose() * y - n * std::pow(y_mean, 2);
      |             ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:117:24:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]’
  117 |     { Base::setConstant(value); return derived(); }
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
QRutils.cpp:733:49:   required from here
  733 |   D1.diagonal().array()       = std::sqrt(lambda);
      |                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRutils.cpp:971:45:   required from here
  971 |   mse         = (diff.array().square()).mean();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRutils.cpp:1079:41:   required from here
 1079 |   pmse = (residuals.array().square().sum()) / (n * q);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
QRutils.cpp:271:23:   required from here
  271 |   res2    = resid.norm();
      |             ~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRutils.cpp:734:33:   required from here
  734 |   X_tilde.block(0, 0, n, p)   = X;
      |                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
QRutils.cpp:273:27:   required from here
  273 |   y_norm2 = y.transpose() * y - n * std::pow(y_mean, 2);
      |             ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
  125 |             Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
      |                                                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
  134 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  135 |             r, actualPanelWidth,
      |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
  136 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
  137 |             RhsMapper(rhs+startBlock, 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
  138 |             rhs+endBlock, 1, RhsScalar(-1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]’
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
  134 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  135 |             r, actualPanelWidth,
      |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
  136 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
  137 |             RhsMapper(rhs+startBlock, 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
  138 |             rhs+endBlock, 1, RhsScalar(-1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]’
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
  134 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  135 |             r, actualPanelWidth,
      |             ~~~~~~~~~~~~~~~~~~~~                                                                                   
  136 |             LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                              
  137 |             RhsMapper(rhs+startBlock, 1),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                          
  138 |             rhs+endBlock, 1, RhsScalar(-1));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                        
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]’
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, 1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1023:29:   required from here
 1023 |   Y_mean = Y.colwise().mean();
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
   64 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                        ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1136:43:   required from here
 1136 |   regp = R.triangularView<Upper>().solve(B);  // enable fast mode
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
   78 |     gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
      |                                                                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1136:43:   required from here
 1136 |   regp = R.triangularView<Upper>().solve(B);  // enable fast mode
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
   78 |     gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
      |                                                                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1136:43:   required from here
 1136 |   regp = R.triangularView<Upper>().solve(B);  // enable fast mode
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:261:25:   required from here
  261 |   b   = Q.transpose() * XTy;
      |                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1136:43:   required from here
 1136 |   regp = R.triangularView<Upper>().solve(B);  // enable fast mode
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1136:43:   required from here
 1136 |   regp = R.triangularView<Upper>().solve(B);  // enable fast mode
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
  164 |             gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1),
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  165 |                         actualPanelWidth, actual_kc, 0, blockBOffset);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1136:43:   required from here
 1136 |   regp = R.triangularView<Upper>().solve(B);  // enable fast mode
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:261:25:   required from here
  261 |   b   = Q.transpose() * XTy;
      |                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:269:17:   required from here
  269 |   fitted  = X * regp;
      |                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:269:17:   required from here
  269 |   fitted  = X * regp;
      |                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:261:25:   required from here
  261 |   b   = Q.transpose() * XTy;
      |                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:269:17:   required from here
  269 |   fitted  = X * regp;
      |                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:420:23:   required from here
  420 |   b = X.transpose() * y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  184 |         pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  195 |             pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:124:56:   required from here
  124 |   x = R.triangularView<Upper>().solve(Q.transpose() * b);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:261:25:   required from here
  261 |   b   = Q.transpose() * XTy;
      |                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, 1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1023:29:   required from here
 1023 |   Y_mean = Y.colwise().mean();
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:261:25:   required from here
  261 |   b   = Q.transpose() * XTy;
      |                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:420:23:   required from here
  420 |   b = X.transpose() * y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1032:15:   required from here
 1032 |   Y_HAT = X * B;
      |               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1617:23:   required from here
 1617 |   B = X.transpose() * Y;
      |                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
QRutils.cpp:1029:37:   required from here
 1029 |   T_sscp = Y_centered.transpose() * Y_centered;
      |                                     ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:5:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >’
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:21:74:   required from here
   21 |     Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type y(ySEXP);
      |                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >’
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:21:74:   required from here
   21 |     Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type y(ySEXP);
      |                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, -1> >’
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:22:74:   required from here
   22 |     Rcpp::traits::input_parameter< const Eigen::MatrixXd& >::type X(XSEXP);
      |                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, 1, -1> >’
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:356:77:   required from here
  356 |     Rcpp::traits::input_parameter< const Eigen::RowVectorXd& >::type u(uSEXP);
      |                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c fastQR_wrap.cpp -o fastQR_wrap.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from fastQRutils.h:5,
                 from fastQR_wrap.cpp:7:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
fastQR_wrap.cpp:59:12:   required from here
   59 |   int n = X.rows(), p = X.cols();
      |            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
fastQR_wrap.cpp:59:12:   required from here
   59 |   int n = X.rows(), p = X.cols();
      |            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
fastQR_wrap.cpp:311:36:   required from here
  311 |     if ((rank_ > p) || (rank_ > tau.size())) {
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
fastQR_wrap.cpp:433:47:   required from here
  433 |     Eigen::MatrixXd P  = Eigen::MatrixXd::Zero(n, n);
      |                          ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQR_wrap.cpp:438:30:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40:   required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
  147 |     typedef typename Traits::ResScalar ResScalar;
      |                                        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81:   required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’
  342 |     evaluateProductBlockingSizesHeuristic<LhsScalar, RhsScalar, KcFactor, Index>(k, m, n, num_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66:   required from ‘Eigen::internal::gemm_blocking_space<StorageOrder, _LhsScalar, _RhsScalar, MaxRows, MaxCols, MaxDepth, KcFactor, false>::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’
  355 |         computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc, num_threads);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  507 |     BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true);
      |                  ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
   82 |   gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                           ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
   82 |   gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                           ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  184 |         pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  195 |             pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  198 |           gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha);
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQR_wrap.cpp:438:28:   required from here
  438 |     Eigen::MatrixXd R = R_ * P;
      |                         ~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQR_wrap.cpp:573:18:   required from here
  573 |     X = Q * R_ * P;
      |                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c fastQRutils.cpp -o fastQRutils.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from fastQRutils.h:5,
                 from fastQRutils.cpp:14:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
fastQRutils.cpp:20:12:   required from here
   20 |   int n = X.rows(), p = X.cols(), min_np = std::min(n, p);
      |            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
fastQRutils.cpp:20:12:   required from here
   20 |   int n = X.rows(), p = X.cols(), min_np = std::min(n, p);
      |            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:73:124:   required from ‘class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >’
   73 |     typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename HCoeffsType::ConjugateReturnType>::type> HouseholderSequenceType;
      |                                                                                                                            ^~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from ‘class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >’
  242 |     RowVectorType m_temp;
      |                   ^~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
fastQRutils.cpp:24:68:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
fastQRutils.cpp:25:44:   required from here
   25 |   Eigen::MatrixXd R = qr.matrixQR().topRows(min_np).triangularView<Upper>();
      |                       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
fastQRutils.cpp:101:26:   required from here
  101 |   V         = qr.leftCols(rank);
      |               ~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
fastQRutils.cpp:102:23:   required from here
  102 |   tau_trunc = tau.head(rank);
      |               ~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
fastQRutils.cpp:129:16:   required from here
  129 |       out.block(0, 0, rank, R.cols()) = R;
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
fastQRutils.cpp:155:44:   required from here
  155 |   Eigen::MatrixXd P = Eigen::MatrixXd::Zero(n, n);
      |                       ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
fastQRutils.cpp:193:18:   required from here
  193 |   Q_full.leftCols(k) = Q;
      |   ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
fastQRutils.cpp:197:32:   required from here
  197 |     VectorXd v = VectorXd::Zero(n);
      |                  ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
fastQRutils.cpp:202:22:   required from here
  202 |       v -= Q_full.col(i).dot(v) * Q_full.col(i);
      |            ~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
fastQRutils.cpp:202:47:   required from here
  202 |       v -= Q_full.col(i).dot(v) * Q_full.col(i);
      |                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
fastQRutils.cpp:202:47:   required from here
  202 |       v -= Q_full.col(i).dot(v) * Q_full.col(i);
      |                                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
fastQRutils.cpp:206:25:   required from here
  206 |     Q_full.col(j) = v / norm_v;
      |                         ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
fastQRutils.cpp:328:76:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                                                                    ~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
fastQRutils.cpp:328:67:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
fastQRutils.cpp:385:34:   required from here
  385 |   const VectorXd betahat(QR.solve(y));
      |                          ~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQRutils.cpp:386:29:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                             ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
fastQRutils.cpp:387:28:   required from here
  387 |   const VectorXd resid(y - fitted);
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
fastQRutils.cpp:389:75:   required from here
  389 |   const VectorXd se(QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p)).rowwise().norm());
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   43 |   typedef typename MatrixType::Scalar InputScalar;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   23 | template<typename T> struct traits<const T> : traits<T> {};
      |                             ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
fastQRutils.cpp:389:115:   required from here
  389 |   const VectorXd se(QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p)).rowwise().norm());
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   23 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
fastQRutils.cpp:389:115:   required from here
  389 |   const VectorXd se(QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p)).rowwise().norm());
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
fastQRutils.cpp:389:115:   required from here
  389 |   const VectorXd se(QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p)).rowwise().norm());
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
fastQRutils.cpp:452:26:   required from here
  452 |   y_norm2   = y.transpose() * y - n * std::pow(y_mean, 2);
      |               ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQRutils.cpp:452:31:   required from here
  452 |   y_norm2   = y.transpose() * y - n * std::pow(y_mean, 2);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQRutils.cpp:452:31:   required from here
  452 |   y_norm2   = y.transpose() * y - n * std::pow(y_mean, 2);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
fastQRutils.cpp:454:26:   required from here
  454 |   XTX       = X.transpose() * X;
      |               ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQRutils.cpp:455:31:   required from here
  455 |   XTy       = X.transpose() * y;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   43 |   typedef typename MatrixType::Scalar InputScalar;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   23 | template<typename T> struct traits<const T> : traits<T> {};
      |                             ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
fastQRutils.cpp:523:31:   required from here
  523 |   se        = L.rowwise().norm();
      |               ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >’
   23 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
fastQRutils.cpp:523:31:   required from here
  523 |   se        = L.rowwise().norm();
      |               ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
fastQRutils.cpp:523:31:   required from here
  523 |   se        = L.rowwise().norm();
      |               ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
fastQRutils.cpp:527:26:   required from here
  527 |   XTX       = R.transpose() * R;
      |               ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
fastQRutils.cpp:534:87:   required from here
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
fastQRutils.cpp:542:80:   required from here
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                                                                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  426 |         res(other.template cast<typename internal::matrix_type_times_scalar_type<Scalar,OtherDerived>::ResultScalar>());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  426 |         res(other.template cast<typename internal::matrix_type_times_scalar_type<Scalar,OtherDerived>::ResultScalar>());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
  167 |   typedef typename PlainObjectType::Scalar Scalar;
      |                                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
  273 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:452:29:   required from here
  452 |   y_norm2   = y.transpose() * y - n * std::pow(y_mean, 2);
      |               ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
fastQRutils.cpp:202:29:   required from here
  202 |       v -= Q_full.col(i).dot(v) * Q_full.col(i);
      |            ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
fastQRutils.cpp:204:20:   required from here
  204 |     norm_v = v.norm();
      |              ~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 1, 1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:363:86:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  363 |       Matrix<Scalar,1,Dest::ColsAtCompileTime,RowMajor,1,Dest::MaxColsAtCompileTime> workspace;
      |                                                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |                                        ~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:21:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:394:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  394 |           Block<Dest,Dynamic,Dynamic> sub_dst(dst,
      |                                       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   90 |   Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs,nbVecs);
      |                                                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |                    ~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
      |                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  128 |     Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
      |                                                                                  ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |            ~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   45 |   VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1);
      |                                                                                ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
fastQRutils.cpp:202:29:   required from here
  202 |       v -= Q_full.col(i).dot(v) * Q_full.col(i);
      |            ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 0, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                              ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |                    ~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
      |                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  127 |     Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
      |                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  128 |     Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
      |                                                                                  ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |                     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |            ~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:451:21:   required from here
  451 |   y_mean    = y.mean();
      |               ~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:452:29:   required from here
  452 |   y_norm2   = y.transpose() * y - n * std::pow(y_mean, 2);
      |               ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:452:29:   required from here
  452 |   y_norm2   = y.transpose() * y - n * std::pow(y_mean, 2);
      |               ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:12:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:20:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  507 |     m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
      |                                    ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:64:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   76 |   VectorBlock<const Derived, EssentialPart::SizeAtCompileTime> tail(derived(), 1, size()-1);
      |                                                                ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  567 |           m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  123 |     *this *= Scalar(1)-tau;
      |     ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:75:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |                                                           ~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  501 |       return maxCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
fastQRutils.cpp:121:39:   required from here
  121 |   Eigen::MatrixXd R = qr.topLeftCorner(min_np, p);
      |                       ~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:129:41:   required from here
  129 |       out.block(0, 0, rank, R.cols()) = R;
      |                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:193:24:   required from here
  193 |   Q_full.leftCols(k) = Q;
      |                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
fastQRutils.cpp:202:29:   required from here
  202 |       v -= Q_full.col(i).dot(v) * Q_full.col(i);
      |            ~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
fastQRutils.cpp:204:20:   required from here
  204 |     norm_v = v.norm();
      |              ~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:101:31:   required from here
  101 |   V         = qr.leftCols(rank);
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  511 |   RealScalar threshold_helper =  numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:452:29:   required from here
  452 |   y_norm2   = y.transpose() * y - n * std::pow(y_mean, 2);
      |               ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |     ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  507 |     m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
      |                                    ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  567 |           m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  123 |     *this *= Scalar(1)-tau;
      |     ~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  130 |     tmp += this->row(0);
      |     ~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
fastQRutils.cpp:328:67:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
fastQRutils.cpp:328:67:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
fastQRutils.cpp:328:67:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
fastQRutils.cpp:328:67:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
  125 |             Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
      |                                                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
fastQRutils.cpp:328:67:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:389:117:   required from here
  389 |   const VectorXd se(QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p)).rowwise().norm());
      |                                                                                                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81:   required from ‘PacketType Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op<double>; ArgType = const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::CwiseUnaryOp<UnaryOp, MatrixType>::Scalar = double; Eigen::Index = long int]’
  603 |     return m_d.func().packetOp(m_d.argImpl.template packet<LoadMode, PacketType>(index));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:389:117:   required from here
  389 |   const VectorXd se(QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p)).rowwise().norm());
      |                                                                                                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
   92 |     SmallPanelWidth   = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                          ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:15:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   93 |     essential = tail / (c0 - beta);
      |     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  540 |     m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
  527 |   typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
      |                                                                            ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >’
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
   78 |     gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
      |                                                                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:522:93:   required from here
  522 |   L         = QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
   78 |     gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
      |                                                                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:522:93:   required from here
  522 |   L         = QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:523:32:   required from here
  523 |   se        = L.rowwise().norm();
      |                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81:   required from ‘PacketType Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op<double>; ArgType = const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::CwiseUnaryOp<UnaryOp, MatrixType>::Scalar = double; Eigen::Index = long int]’
  603 |     return m_d.func().packetOp(m_d.argImpl.template packet<LoadMode, PacketType>(index));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >, Eigen::internal::assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:523:32:   required from here
  523 |   se        = L.rowwise().norm();
      |                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
fastQRutils.cpp:386:36:   required from here
  386 |   const VectorXd fitted(X * betahat);
      |                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:522:93:   required from here
  522 |   L         = QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:522:93:   required from here
  522 |   L         = QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
  164 |             gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1),
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  165 |                         actualPanelWidth, actual_kc, 0, blockBOffset);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:522:93:   required from here
  522 |   L         = QR.matrixQR().topRows(p).triangularView<Upper>().solve(MatrixXd::Identity(p,p));
      |                                                                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:523:32:   required from here
  523 |   se        = L.rowwise().norm();
      |                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  175 |       pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:455:31:   required from here
  455 |   XTy       = X.transpose() * y;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:455:31:   required from here
  455 |   XTy       = X.transpose() * y;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
fastQRutils.cpp:328:67:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
fastQRutils.cpp:328:67:   required from here
  328 |   VectorXd b   = R11.template triangularView<Eigen::Upper>().solve(Qty.head(rank));
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:523:32:   required from here
  523 |   se        = L.rowwise().norm();
      |                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  549 |     m_qr.bottomRightCorner(rows-k, cols-k-1)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  550 |         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  477 |   computeInPlace();
      |   ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  137 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:40:37:   required from here
   40 |   ColPivHouseholderQR<MatrixXd> qr(X);
      |                                     ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  103 |   mat.noalias() -= V * tmp;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
  295 |     mat.bottomRightCorner(remainingRows, remainingCols)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  296 |         .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  114 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
fastQRutils.cpp:23:45:   required from here
   23 |   Eigen::HouseholderQR<Eigen::MatrixXd> qr(X);
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |                                                         * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
      |                                                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   99 |          VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
      |                                                                                    ~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:455:31:   required from here
  455 |   XTy       = X.transpose() * y;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:527:31:   required from here
  527 |   XTX       = R.transpose() * R;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]’
  129 |     tmp.noalias() = essential.adjoint() * bottom;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:247:55:   required from here
  247 |   VectorXd Qty_full = Qseq.setLength(k).transpose() * y;  // length n
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
fastQRutils.cpp:454:31:   required from here
  454 |   XTX       = X.transpose() * X;
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  101 |   if(forward) tmp = T.template triangularView<Upper>()           * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
  102 |   else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
      |               ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from ‘typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = double]’
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
fastQRutils.cpp:24:78:   required from here
   24 |   Eigen::MatrixXd Q = qr.householderQ() * Eigen::MatrixXd::Identity(n, min_np);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
   81 |   gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                           ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:512:34:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >; SEXP = SEXPREC*; R_xlen_t = long int]’
  512 |         replace_element__dispatch( typename traits::is_named<U>::type(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  513 |                                    it, names, index, u ) ;
      |                                    ~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   recursively required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; TArgs = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
 1170 |         replace_element_impl(++it, names, ++index, args...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1170:29:   required from ‘static void Rcpp::Vector<RTYPE, StoragePolicy>::replace_element_impl(iterator&, Rcpp::Shield<SEXPREC*>&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1> >; TArgs = {Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator<Rcpp::internal::generic_proxy<19> >]’
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1146:29:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]’
 1146 |         replace_element_impl(it, names, index, t...);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/Vector.h:1126:32:   required from ‘static Rcpp::Vector<RTYPE, StoragePolicy> Rcpp::Vector<RTYPE, StoragePolicy>::create(const T& ...) [with T = {Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Rcpp::traits::named_object<Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, 0> >, Rcpp::traits::named_object<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>, Rcpp::traits::named_object<double>}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’
 1126 |         return create__dispatch( typename traits::integral_constant<bool,
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1127 |                                  traits::is_any_named<T...>::value
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1128 |                                  >::type(), t... ) ;
      |                                  ~~~~~~~~~~~~~~~~~
fastQRutils.cpp:533:30:   required from here
  533 |   output = Rcpp::List::create(Rcpp::Named("coeff")           = regp,
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                               Rcpp::Named("coeff.se")        = se * std::sqrt(sig2_hat),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |                               Rcpp::Named("fitted")          = fitted,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  536 |                               Rcpp::Named("residuals")       = resid,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  537 |                               Rcpp::Named("residuals_norm2") = res2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  538 |                               Rcpp::Named("y_norm2")         = y_norm2,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  539 |                               Rcpp::Named("R")               = R,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  540 |                               Rcpp::Named("L")               = L,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  541 |                               Rcpp::Named("XTX")             = XTX,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  542 |                               Rcpp::Named("XTX_INV")         = L * L.transpose(),
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  543 |                               Rcpp::Named("XTy")             = XTy,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |                               Rcpp::Named("sigma2_hat")      = sig2_hat,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |                               Rcpp::Named("df")              = df,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  546 |                               Rcpp::Named("R2")              = 1.0 - (res2 / y_norm2));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:341:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c givens_house.cpp -o givens_house.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from givens_house.cpp:6:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
givens_house.cpp:20:57:   required from here
   20 | Eigen::Vector2d givens (const double& a, const double& b) {
      |                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
givens_house.cpp:20:57:   required from here
   20 | Eigen::Vector2d givens (const double& a, const double& b) {
      |                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
givens_house.cpp:62:54:   required from here
   62 | Eigen::VectorXd householder (const Eigen::VectorXd& x) {
      |                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
givens_house.cpp:62:54:   required from here
   62 | Eigen::VectorXd householder (const Eigen::VectorXd& x) {
      |                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
givens_house.cpp:69:35:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                          ~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
givens_house.cpp:69:53:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
givens_house.cpp:69:74:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
givens_house.cpp:69:74:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
givens_house.cpp:71:14:   required from here
   71 |     v.segment(1, m-1) = x.segment(1, m-1);
      |     ~~~~~~~~~^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
givens_house.cpp:90:30:   required from here
   90 |     v = Eigen::VectorXd::Zero(1);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
  167 |   typedef typename PlainObjectType::Scalar Scalar;
      |                                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
  273 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
givens_house.cpp:69:56:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:48:16:   required from ‘Eigen::CommaInitializer<MatrixType>::CommaInitializer(XprType&, const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
   48 |     m_xpr.block(0, 0, other.rows(), other.cols()) = other;
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  159 |   return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
givens_house.cpp:96:10:   required from here
   96 |   out << v, beta, mu;
      |          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
givens_house.cpp:69:56:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
givens_house.cpp:69:56:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
givens_house.cpp:69:56:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
givens_house.cpp:71:41:   required from here
   71 |     v.segment(1, m-1) = x.segment(1, m-1);
      |                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
givens_house.cpp:69:56:   required from here
   69 |     const double sigma = x.segment(1, m-1).transpose() * x.segment(1, m-1);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:48:51:   required from ‘Eigen::CommaInitializer<MatrixType>::CommaInitializer(XprType&, const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Matrix<double, -1, 1>]’
   48 |     m_xpr.block(0, 0, other.rows(), other.cols()) = other;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10:   required from ‘Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
  159 |   return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
givens_house.cpp:96:10:   required from here
   96 |   out << v, beta, mu;
      |          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c support_functions.cpp -o support_functions.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from support_functions.cpp:1:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
support_functions.cpp:33:38:   required from here
   33 |                          const int& n) {
      |                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
support_functions.cpp:33:38:   required from here
   33 |                          const int& n) {
      |                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c thinQR_wrap.cpp -o thinQR_wrap.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from QRdecomposition.h:5,
                 from thinQR_wrap.cpp:7:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
thinQR_wrap.cpp:158:71:   required from here
  158 |                          Rcpp::Nullable<std::string> type = R_NilValue) {
      |                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
thinQR_wrap.cpp:158:71:   required from here
  158 |                          Rcpp::Nullable<std::string> type = R_NilValue) {
      |                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
thinQR_wrap.cpp:227:24:   required from here
  227 |       Rs = thinqraddcol(R, X, U);
      |            ~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQR_wrap.cpp:238:15:   required from here
  238 |     R_in.block(0, 0, R_ncol, R_ncol) = R;
      |     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQR_wrap.cpp:255:36:   required from here
  255 |       Rs = thinqraddrow(R_in, U.col(0));
      |                               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQR_wrap.cpp:258:44:   required from here
  258 |       Rs = thinqraddmrows(R_in, U.transpose());
      |                                 ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQR_wrap.cpp:485:39:   required from here
  485 |         Rs = thinqrdeleterow(R, U_.col(0));
      |                                 ~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQR_wrap.cpp:488:47:   required from here
  488 |         Rs = thinqrdeletemrows(R, U_.transpose());
      |                                   ~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
thinQR_wrap.cpp:212:67:   required from here
  212 |   Eigen::MatrixXd Rs(R_nrow+m, R_nrow+m);               Rs.setZero();
      |                                                         ~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQR_wrap.cpp:238:40:   required from here
  238 |     R_in.block(0, 0, R_ncol, R_ncol) = R;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQR_wrap.cpp:255:36:   required from here
  255 |       Rs = thinqraddrow(R_in, U.col(0));
      |                               ~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQR_wrap.cpp:485:39:   required from here
  485 |         Rs = thinqrdeleterow(R, U_.col(0));
      |                                 ~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c thinQRupdate.cpp -o thinQRupdate.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from thinQRupdate.h:5,
                 from thinQRupdate.cpp:14:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
thinQRupdate.cpp:25:55:   required from here
   25 |                               const Eigen::VectorXd& u) {
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
thinQRupdate.cpp:25:55:   required from here
   25 |                               const Eigen::VectorXd& u) {
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
thinQRupdate.cpp:34:25:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:34:42:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:34:98:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQRupdate.cpp:38:19:   required from here
   38 |   Rs.topLeftCorner(n, n)  = R;
      |   ~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:43:26:   required from here
   43 |   Rs(n, n) = (u.transpose() * u - r12.transpose() * r12).value();
      |               ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:43:31:   required from here
   43 |   Rs(n, n) = (u.transpose() * u - r12.transpose() * r12).value();
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:43:31:   required from here
   43 |   Rs(n, n) = (u.transpose() * u - r12.transpose() * r12).value();
      |                               ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:43:53:   required from here
   43 |   Rs(n, n) = (u.transpose() * u - r12.transpose() * r12).value();
      |                                                     ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:67:98:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                                                                                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQRupdate.cpp:70:31:   required from here
   70 |   Eigen::VectorXd ti = R12.col(0);
      |                        ~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:73:48:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                              ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQRupdate.cpp:73:64:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                     ~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:73:68:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:73:84:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                        ~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:73:106:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:73:106:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:87:140:   required from here
   87 |       R22.block(i, i+1, 1, m-1-i) = (U.col(i).transpose() * U.rightCols(m-1-i) - ti.transpose() * R12.rightCols(m-1-i) - rsi.transpose() * rsj) / R22(i, i);
      |                                                                                                                                            ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:87:140:   required from here
   87 |       R22.block(i, i+1, 1, m-1-i) = (U.col(i).transpose() * U.rightCols(m-1-i) - ti.transpose() * R12.rightCols(m-1-i) - rsi.transpose() * rsj) / R22(i, i);
      |                                                                                                                                            ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:87:155:   required from here
   87 |       R22.block(i, i+1, 1, m-1-i) = (U.col(i).transpose() * U.rightCols(m-1-i) - ti.transpose() * R12.rightCols(m-1-i) - rsi.transpose() * rsj) / R22(i, i);
      |                                                                                                                                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQRupdate.cpp:122:27:   required from here
  122 |     return R.topLeftCorner(n-1, k-1);
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
thinQRupdate.cpp:125:19:   required from here
  125 |   Eigen::Vector2d tmp; tmp.setZero();
      |                   ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
thinQRupdate.cpp:125:19:   required from here
  125 |   Eigen::Vector2d tmp; tmp.setZero();
      |                   ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 2>’
  178 | class Matrix
      |       ^~~~~~
thinQRupdate.cpp:126:25:   required from here
  126 |   Eigen::Matrix2d Givens(2, 2); Givens.setZero();
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 2> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, 2, 2> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:141:54:   required from here
  141 |       R2.block(i, i+1, 2, n-k-i-1) = Givens.transpose() * R2.block(i, i+1, 2, n-k-i-1);
      |                                      ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:141:86:   required from here
  141 |       R2.block(i, i+1, 2, n-k-i-1) = Givens.transpose() * R2.block(i, i+1, 2, n-k-i-1);
      |                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
thinQRupdate.cpp:193:20:   required from here
  193 |     v    = tmp.head(m+1);
      |            ~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:196:19:   required from here
  196 |     v1   = beta * v;
      |                   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:196:19:   required from here
  196 |     v1   = beta * v;
      |                   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:200:102:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQRupdate.cpp:262:11:   required from here
  262 |     R2.col(i) = R.block(k(0)-1, knot(i)-1, R2.rows(), 1);
      |     ~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:342:55:   required from here
  342 |       Rs.block(i, i+1, 1, n-i-1) = cc * tmp.transpose() - ss * us.tail(n-i-1).transpose();
      |                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:342:88:   required from here
  342 |       Rs.block(i, i+1, 1, n-i-1) = cc * tmp.transpose() - ss * us.tail(n-i-1).transpose();
      |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:342:89:   required from here
  342 |       Rs.block(i, i+1, 1, n-i-1) = cc * tmp.transpose() - ss * us.tail(n-i-1).transpose();
      |                                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
thinQRupdate.cpp:342:89:   required from here
  342 |       Rs.block(i, i+1, 1, n-i-1) = cc * tmp.transpose() - ss * us.tail(n-i-1).transpose();
      |                                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:342:89:   required from here
  342 |       Rs.block(i, i+1, 1, n-i-1) = cc * tmp.transpose() - ss * us.tail(n-i-1).transpose();
      |                                                                                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:343:65:   required from here
  343 |       us.tail(n-i-1)             = ss * tmp + cc * us.tail(n-i-1);
      |                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:343:65:   required from here
  343 |       us.tail(n-i-1)             = ss * tmp + cc * us.tail(n-i-1);
      |                                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:388:55:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
thinQRupdate.cpp:388:112:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                    ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:388:118:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:388:130:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:388:131:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:391:76:   required from here
  391 |     Us.rightCols(n-i-1)        -= v.segment(1, v.size()-1) * tmp.transpose();
      |                                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
thinQRupdate.cpp:393:77:   required from here
  393 |   Rs(n-1, n-1) = std::sqrt(std::pow(Rs(n-1, n-1), 2) + Us.col(n-1).transpose() * Us.col(n-1));
      |                                                        ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 6>’
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:393:92:   required from here
  393 |   Rs(n-1, n-1) = std::sqrt(std::pow(Rs(n-1, n-1), 2) + Us.col(n-1).transpose() * Us.col(n-1));
      |                                                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:428:96:   required from here
  428 |       Rs.block(i, i+1, 1, n-i-1) = (Rs.block(i, i+1, 1, n-i-1) + ss * us.tail(n-i-1).transpose()) / cc;
      |                                                                                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:428:101:   required from here
  428 |       Rs.block(i, i+1, 1, n-i-1) = (Rs.block(i, i+1, 1, n-i-1) + ss * us.tail(n-i-1).transpose()) / cc;
      |                                                                                                     ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:428:101:   required from here
  428 |       Rs.block(i, i+1, 1, n-i-1) = (Rs.block(i, i+1, 1, n-i-1) + ss * us.tail(n-i-1).transpose()) / cc;
      |                                                                                                     ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:429:78:   required from here
  429 |       us.tail(n-i-1)             = ss * Rs.block(i, i+1, 1, n-i-1).transpose() + cc * us.tail(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
thinQRupdate.cpp:429:100:   required from here
  429 |       us.tail(n-i-1)             = ss * Rs.block(i, i+1, 1, n-i-1).transpose() + cc * us.tail(n-i-1);
      |                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:429:100:   required from here
  429 |       us.tail(n-i-1)             = ss * Rs.block(i, i+1, 1, n-i-1).transpose() + cc * us.tail(n-i-1);
      |                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:475:80:   required from here
  475 |       Rs.block(i, i+1, 1, n-i-1) = (Rs.block(i, i+1, 1, n-i-1) + tmp.transpose()) / (1.0 - beta);
      |                                                                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:475:96:   required from here
  475 |       Rs.block(i, i+1, 1, n-i-1) = (Rs.block(i, i+1, 1, n-i-1) + tmp.transpose()) / (1.0 - beta);
      |                                                                                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:478:68:   required from here
  478 |       Us.rightCols(n-i-1) -= v1 * (beta * Rs.block(i, i+1, 1, n-i-1) + tmp.transpose());
      |                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
thinQRupdate.cpp:478:86:   required from here
  478 |       Us.rightCols(n-i-1) -= v1 * (beta * Rs.block(i, i+1, 1, n-i-1) + tmp.transpose());
      |                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
thinQRupdate.cpp:478:87:   required from here
  478 |       Us.rightCols(n-i-1) -= v1 * (beta * Rs.block(i, i+1, 1, n-i-1) + tmp.transpose());
      |                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
thinQRupdate.cpp:72:68:   required from here
   72 |   R22(0, 0)               = std::sqrt(std::abs(U.col(0).squaredNorm() - ti.squaredNorm()));
      |                                                ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
thinQRupdate.cpp:72:87:   required from here
   72 |   R22(0, 0)               = std::sqrt(std::abs(U.col(0).squaredNorm() - ti.squaredNorm()));
      |                                                                         ~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44:   required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
  167 |   typedef typename PlainObjectType::Scalar Scalar;
      |                                            ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
  273 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:393:80:   required from here
  393 |   Rs(n-1, n-1) = std::sqrt(std::pow(Rs(n-1, n-1), 2) + Us.col(n-1).transpose() * Us.col(n-1));
      |                                                        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:469:32:   required from here
  469 |       v.tail(v.size()-1) /= v(0);
      |                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
thinQRupdate.cpp:37:43:   required from here
   37 |   Eigen::MatrixXd Rs(n+1, n+1); Rs.setZero();
      |                                 ~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
thinQRupdate.cpp:125:35:   required from here
  125 |   Eigen::Vector2d tmp; tmp.setZero();
      |                        ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 2>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 2>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
thinQRupdate.cpp:126:47:   required from here
  126 |   Eigen::Matrix2d Givens(2, 2); Givens.setZero();
      |                                 ~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
thinQRupdate.cpp:202:81:   required from here
  202 |   R2(R2.cols()-1, R2.cols()-1) = R2.block(R2.cols()-1, R2.cols()-1, m+1, 1).norm();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
thinQRupdate.cpp:72:68:   required from here
   72 |   R22(0, 0)               = std::sqrt(std::abs(U.col(0).squaredNorm() - ti.squaredNorm()));
      |                                                ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:141:86:   required from here
  141 |       R2.block(i, i+1, 2, n-k-i-1) = Givens.transpose() * R2.block(i, i+1, 2, n-k-i-1);
      |                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
thinQRupdate.cpp:202:81:   required from here
  202 |   R2(R2.cols()-1, R2.cols()-1) = R2.block(R2.cols()-1, R2.cols()-1, m+1, 1).norm();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:393:80:   required from here
  393 |   Rs(n-1, n-1) = std::sqrt(std::pow(Rs(n-1, n-1), 2) + Us.col(n-1).transpose() * Us.col(n-1));
      |                                                        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:393:80:   required from here
  393 |   Rs(n-1, n-1) = std::sqrt(std::pow(Rs(n-1, n-1), 2) + Us.col(n-1).transpose() * Us.col(n-1));
      |                                                        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
thinQRupdate.cpp:72:68:   required from here
   72 |   R22(0, 0)               = std::sqrt(std::abs(U.col(0).squaredNorm() - ti.squaredNorm()));
      |                                                ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
thinQRupdate.cpp:72:87:   required from here
   72 |   R22(0, 0)               = std::sqrt(std::abs(U.col(0).squaredNorm() - ti.squaredNorm()));
      |                                                                         ~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:391:76:   required from here
  391 |     Us.rightCols(n-i-1)        -= v.segment(1, v.size()-1) * tmp.transpose();
      |                                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:469:32:   required from here
  469 |       v.tail(v.size()-1) /= v(0);
      |                                ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:122:27:   required from here
  122 |     return R.topLeftCorner(n-1, k-1);
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:262:56:   required from here
  262 |     R2.col(i) = R.block(k(0)-1, knot(i)-1, R2.rows(), 1);
      |                                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]’
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:393:80:   required from here
  393 |   Rs(n-1, n-1) = std::sqrt(std::pow(Rs(n-1, n-1), 2) + Us.col(n-1).transpose() * Us.col(n-1));
      |                                                        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:800:51:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::Data::Data(const Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  800 |     Data(const XprType& xpr) : op(xpr.functor()), lhsImpl(xpr.lhs()), rhsImpl(xpr.rhs()) {}
      |                                                   ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  758 |   explicit binary_evaluator(const XprType& xpr) : m_d(xpr)
      |                                                   ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  729 |   explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  101 |       return internal::evaluator<Derived>(derived()).coeff(row,col);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >; CoeffReturnType = double]’
  530 |       return derived().coeff(0,0);
      |              ~~~~~~~~~~~~~~~^~~~~
thinQRupdate.cpp:43:63:   required from here
   43 |   Rs(n, n) = (u.transpose() * u - r12.transpose() * r12).value();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:800:51:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::Data::Data(const Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  800 |     Data(const XprType& xpr) : op(xpr.functor()), lhsImpl(xpr.lhs()), rhsImpl(xpr.rhs()) {}
      |                                                   ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  758 |   explicit binary_evaluator(const XprType& xpr) : m_d(xpr)
      |                                                   ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  729 |   explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  101 |       return internal::evaluator<Derived>(derived()).coeff(row,col);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >; CoeffReturnType = double]’
  530 |       return derived().coeff(0,0);
      |              ~~~~~~~~~~~~~~~^~~~~
thinQRupdate.cpp:43:63:   required from here
   43 |   Rs(n, n) = (u.transpose() * u - r12.transpose() * r12).value();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:141:86:   required from here
  141 |       R2.block(i, i+1, 2, n-k-i-1) = Givens.transpose() * R2.block(i, i+1, 2, n-k-i-1);
      |                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
   65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |           actualPanelWidth, r,
      |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
   67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
   68 |           RhsMapper(rhs + startCol, 1),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
   69 |           rhs + startRow, 1,
      |           ~~~~~~~~~~~~~~~~~~                                                                                       
   70 |           RhsScalar(-1));
      |           ~~~~~~~~~~~~~~                                                                                           
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
   65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |           actualPanelWidth, r,
      |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
   67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
   68 |           RhsMapper(rhs + startCol, 1),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
   69 |           rhs + startRow, 1,
      |           ~~~~~~~~~~~~~~~~~~                                                                                       
   70 |           RhsScalar(-1));
      |           ~~~~~~~~~~~~~~                                                                                           
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
   65 |         general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |           actualPanelWidth, r,
      |           ~~~~~~~~~~~~~~~~~~~~                                                                                     
   67 |           LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                  
   68 |           RhsMapper(rhs + startCol, 1),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                            
   69 |           rhs + startRow, 1,
      |           ~~~~~~~~~~~~~~~~~~                                                                                       
   70 |           RhsScalar(-1));
      |           ~~~~~~~~~~~~~~                                                                                           
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
   64 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                        ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  552 |       this->solveInPlace(dst);
      |       ~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
   78 |     gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
      |                                                                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
   78 |     gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
      |                                                                                               ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  552 |       this->solveInPlace(dst);
      |       ~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  552 |       this->solveInPlace(dst);
      |       ~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
  164 |             gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1),
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  165 |                         actualPanelWidth, actual_kc, 0, blockBOffset);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]’
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 1]’
  552 |       this->solveInPlace(dst);
      |       ~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]’
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:800:51:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::Data::Data(const Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  800 |     Data(const XprType& xpr) : op(xpr.functor()), lhsImpl(xpr.lhs()), rhsImpl(xpr.rhs()) {}
      |                                                   ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:758:51:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  758 |   explicit binary_evaluator(const XprType& xpr) : m_d(xpr)
      |                                                   ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:729:52:   required from ‘Eigen::internal::evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_difference_op<double, double>; Lhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; Rhs = const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  729 |   explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  101 |       return internal::evaluator<Derived>(derived()).coeff(row,col);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >; CoeffReturnType = double]’
  530 |       return derived().coeff(0,0);
      |              ~~~~~~~~~~~~~~~^~~~~
thinQRupdate.cpp:43:63:   required from here
   43 |   Rs(n, n) = (u.transpose() * u - r12.transpose() * r12).value();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]’
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:104:54:   required from ‘Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  104 |   explicit evaluator(const T& xpr) : evaluator<T>(xpr) {}
      |                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:800:51:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:141:86:   required from here
  141 |       R2.block(i, i+1, 2, n-k-i-1) = Givens.transpose() * R2.block(i, i+1, 2, n-k-i-1);
      |                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:141:86:   required from here
  141 |       R2.block(i, i+1, 2, n-k-i-1) = Givens.transpose() * R2.block(i, i+1, 2, n-k-i-1);
      |                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, 2, 2> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:141:86:   required from here
  141 |       R2.block(i, i+1, 2, n-k-i-1) = Givens.transpose() * R2.block(i, i+1, 2, n-k-i-1);
      |                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:474:78:   required from here
  474 |       tmp.transpose()            = beta * v1.transpose() * Us.rightCols(n-i-1);
      |                                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 2, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = 2; int _Cols = -1; int _Options = 0; int _MaxRows = 2; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:141:86:   required from here
  141 |       R2.block(i, i+1, 2, n-k-i-1) = Givens.transpose() * R2.block(i, i+1, 2, n-k-i-1);
      |                                                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:200:103:   required from here
  200 |     R2.block(i, i+1, m+1, R2.cols()-i-1) -= v1 * (v.transpose() * R2.block(i, i+1, m+1, R2.cols()-i-1));
      |                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  195 |             pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:87:155:   required from here
   87 |       R22.block(i, i+1, 1, m-1-i) = (U.col(i).transpose() * U.rightCols(m-1-i) - ti.transpose() * R12.rightCols(m-1-i) - rsi.transpose() * rsj) / R22(i, i);
      |                                                                                                                                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:34:81:   required from here
   34 |   const Eigen::VectorXd r12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * u);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:73:119:   required from here
   73 |   R22.block(0, 1, 1, m-1) = (U.col(0).transpose() * U.rightCols(m-1) - ti.transpose() * R12.rightCols(m-1)) / R22(0, 0);
      |                                                                                                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> >, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
thinQRupdate.cpp:87:155:   required from here
   87 |       R22.block(i, i+1, 1, m-1-i) = (U.col(i).transpose() * U.rightCols(m-1-i) - ti.transpose() * R12.rightCols(m-1-i) - rsi.transpose() * rsj) / R22(i, i);
      |                                                                                                                                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; DecType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; RhsType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
thinQRupdate.cpp:67:81:   required from here
   67 |   const Eigen::MatrixXd R12 = R.transpose().triangularView<Eigen::Lower>().solve(X.transpose() * U);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; Derived = Eigen::Matrix<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
thinQRupdate.cpp:388:132:   required from here
  388 |     tmp = beta * (Rs.block(i, i+1, 1, n-i-1).transpose() + (v.segment(1, v.size()-1).transpose() * Us.rightCols(n-i-1)).transpose());
      |                                                                                                                                    ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG  -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native   -c utils.cpp -o utils.o
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25,
                 from utils.h:5,
                 from utils.cpp:14:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
utils.cpp:35:49:   required from here
   35 |                                  const double& x) {
      |                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
utils.cpp:35:49:   required from here
   35 |                                  const double& x) {
      |                                                 ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
utils.cpp: In function ‘Eigen::VectorXd vec2scalar_prod(const Eigen::VectorXd&, const double&)’:
utils.cpp:51:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare]
   51 |   for (int i=0; i<n; i++) {
      |                 ~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
utils.cpp:62:45:   required from here
   62 |   return Eigen::Map<const Eigen::VectorXd>(X.data(), X.size());
      |                                             ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
utils.cpp:62:62:   required from here
   62 |   return Eigen::Map<const Eigen::VectorXd>(X.data(), X.size());
      |                                                              ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
utils.cpp:111:19:   required from here
  111 |     result.segment(index, i+1) = X.block(0, i, i+1, 1);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
utils.cpp:111:41:   required from here
  111 |     result.segment(index, i+1) = X.block(0, i, i+1, 1);
      |                                  ~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
utils.cpp:133:67:   required from here
  133 |     result.segment(index, n-i) = (X.block(i, i, 1, n-i)).transpose();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
utils.cpp:151:18:   required from here
  151 |   Y = X.transpose();
      |       ~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1>, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
utils.cpp:156:12:   required from here
  156 |   return((Y(Eigen::all, index)).transpose());
      |           ~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, Eigen::Array<int, -1, 1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
utils.cpp:156:42:   required from here
  156 |   return((Y(Eigen::all, index)).transpose());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> >, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > >’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
utils.cpp:176:12:   required from here
  176 |   return((Y(Eigen::all, index)).transpose());
      |           ~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > > >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, Eigen::internal::AllRange<-1>, std::vector<int, std::allocator<int> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
utils.cpp:176:42:   required from here
  176 |   return((Y(Eigen::all, index)).transpose());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
utils.cpp:47:65:   required from here
   47 |   Eigen::VectorXd y_prod(n);                      y_prod.setZero();
      |                                                   ~~~~~~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
utils.cpp:150:45:   required from here
  150 |   Eigen::MatrixXd Y(p, n);         Y.setZero();
      |                                    ~~~~~~~~~^~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
utils.cpp:111:54:   required from here
  111 |     result.segment(index, i+1) = X.block(0, i, i+1, 1);
      |                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
utils.cpp:111:54:   required from here
  111 |     result.segment(index, i+1) = X.block(0, i, i+1, 1);
      |                                                      ^
/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o fastQR.so QR_utils_wrap.o QR_wrap.o QRdecomposition.o QRupdate.o QRutils.o RcppExports.o fastQR_wrap.o fastQRutils.o givens_house.o support_functions.o thinQR_wrap.o thinQRupdate.o utils.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR
installing to /home/hornik/tmp/CRAN_special_valgrind/fastQR.Rcheck/00LOCK-fastQR/00new/fastQR/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (fastQR)